Multidimensional analysis of parameters performed in DB2F.

Comparison of classifiers using a multidimensional analysis of classifiers evaluated in DB2F. -value represents the percentage of cases where the random configuration of parameters yields a classifiers that outperforms the classifier obtained with default parameters. Mean, deviation and maximum refer to the increase in accuracy provided by the random configuration, when it outperforms the default configuration. In the case of the SVM, the random choice of parameters yields a classification more accurate than the default classification in about 97% of the cases. In this case, the average and maximum improvement of quality are 5% and 16%, respectively.